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  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Sacramento Reach Fitting Example\n",
      "\n",
      "This notebook shows the end-to-end reach fitting machinery using simulated SWOT data for the Sacramento River.\n",
      "\n",
      "Below are the Python modules developped for fitting SWOT data over the each:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as N\n",
      "from SWOTRiver import SWOTL2\n",
      "from SWOTRiver import ReachExtractor\n",
      "from SWOTRiver import RiverObs\n",
      "from SWOTRiver import FitRiver\n",
      "\n",
      "# For plotting\n",
      "\n",
      "%pylab inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Read the simulation data\n",
      "\n",
      "In this step, the data are read, a projection to (x,y) coordinates is defined, and the data bounding box is found.\n",
      "\n",
      "The data locations are given below:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data_dir = '/Volumes/Reservoir/Data/SWOT/'\n",
      "l2_file = (data_dir +\n",
      "'swot_intf_line2-9_cycle_0001_pass_0014_w0.23_15dB_dem0.1slp.RightSwath.nc')\n",
      "db_dir = '../../data/nAmerica_GRWDL_river_topo/'\n",
      "shape_file_root = db_dir+'nAmerica_GRWDL_river_topo'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "For this example, only data with classification=1 labels are used (pure water pixels) and the latitude and longitude are assumed to be known from the reference interferogram."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "class_list=[1]\n",
      "lat_kwd='no_layover_latitude'\n",
      "lon_kwd='no_layover_longitude'\n",
      "\n",
      "l2 = SWOTL2(l2_file,class_list=class_list,lat_kwd=lat_kwd,lon_kwd=lon_kwd)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Dataset opened\n",
        "Bounding box calculated\n",
        "Good data selected\n",
        "lat/lon read"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "projection set and x,y calculated\n"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The heights to be used are the noisy height and the water_height, the true height weighted by the radar response."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "h = l2.get('height')\n",
      "htrue = l2.get('water_height')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Extract the river reaches overlapping the data bounding box\n",
      "\n",
      "In this case, the reaches are from the North America Global River Width Database for Large Rivers. The data were made by [Tamlin Pavelsky](mailto:pavelsky@unc.edu) and [George Allen](mailto:georgehenryallen@gmail.com) and modified by [Ernesto Rodriguez](mailto:ernesto.rodriguez@jpl.nasa.gov) so that reaches appeared as topologically connected. The results are in the shapefile *nAmerica_GRWDL_river_topo.shp*.\n",
      "\n",
      "The next step scans through the database and finds all of the overlapping reaches in the data base (only one is found). A small buffer of about 2km is placed about the data bounding box to make sure the river is not cut."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "reaches = ReachExtractor(shape_file_root, l2,clip_buffer=0.02)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The following step prints out the reach metadata:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "reaches[0].metadata"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "{'break_idx': 1388940,\n",
        " 'latmax': 40.03200149536133,\n",
        " 'latmin': 38.16350173950195,\n",
        " 'lonmax': -121.5009994506836,\n",
        " 'lonmin': -122.11900329589844,\n",
        " 'npoints': 10144,\n",
        " 'reach': 375745.03125,\n",
        " 'width_max': 532.0,\n",
        " 'width_mean': 115.74655151367188,\n",
        " 'width_min': 30.0,\n",
        " 'width_std': 52.802425384521484}"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Compute the center line and associate observations with it\n",
      "\n",
      "In the following step, the centerline is computed along the extracted reach, but the nodes of the centerline are interpolated to be placed every ds=50m. The centerline consists of a set of nodes, each of which has a geolocation and associated data. \n",
      "\n",
      "After computing the center line, all points more than max_width/2 away from the centerline are removed. In addition, if a node contains fewer than minobs, it is not considered."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "max_width = 400.\n",
      "ds = 50.\n",
      "minobs = 10\n",
      "river_obs = RiverObs(reaches[0],l2.x,l2.y,\n",
      "                     ds=ds,max_width=max_width,minobs=minobs) "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Centerline initialized\n",
        "Local coordiantes calculated"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "In the following step, the height and true heights are associated with the nodes:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "river_obs.add_obs('htrue',htrue)\n",
      "river_obs.add_obs('h',h)\n",
      "river_obs.load_nodes(['h','htrue'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Get some rough statistics of the differences in heights for the data associated with each node:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "hn_mean = N.array(river_obs.get_node_stat('mean','h'))\n",
      "hn_median = N.array(river_obs.get_node_stat('median','h'))\n",
      "hstdn = N.array(river_obs.get_node_stat('stderr','h'))\n",
      "htn = N.array(river_obs.get_node_stat('mean','htrue'))\n",
      "sn = N.array(river_obs.get_node_stat('mean','s'))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ave = N.mean(hn_mean - htn)*100\n",
      "err = N.std(hn_mean - htn)*100\n",
      "print 'Mean statitics:   average: %.1f cm std: %.1f cm'%(ave,err)\n",
      "\n",
      "ave = N.mean(hn_median - htn)*100\n",
      "err = N.std(hn_median - htn)*100\n",
      "print 'Median statitics: average: %.1f cm std: %.1f cm'%(ave,err)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Mean statitics:   average: 2.8 cm std: 67.5 cm\n",
        "Median statitics: average: 3.3 cm std: 68.5 cm\n"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Plot the distances from the points to the nodes, and the cross-river normal coordinate:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(10,5)\n",
      "subplot(1,2,1)\n",
      "hist(river_obs.d,bins=100,log=False)\n",
      "xlabel('Distance to node (m)')\n",
      "xlabel('N obserwations')\n",
      "grid();\n",
      "subplot(1,2,2)\n",
      "hist(river_obs.n,bins=100,log=False)\n",
      "xlabel('Normal coordinate (m)')\n",
      "xlabel('N obserwations')\n",
      "grid();"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
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tj/uXfFgDRkRERGQg7IAZiIxj3bJlYh51suUh7YjetqwBE4c1YMbEDhgRERGR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\nAocRERGYNWsWbr75Zrz00ksAgNbWVth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       "text": [
        "<matplotlib.figure.Figure at 0x10c172110>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Plot the river geometry, number of observations per node, height vs true height, and a plot of height vs the reach distance downriver."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(10,10)\n",
      "subplot(2,2,1)\n",
      "idx = river_obs.populated_nodes\n",
      "plot(river_obs.centerline.x[idx]/1.e3,river_obs.centerline.y[idx]/1.e3,\n",
      "     '.',alpha=0.5)\n",
      "xlabel('x (km)')\n",
      "ylabel('y (km)')\n",
      "subplot(2,2,2)\n",
      "idx = river_obs.populated_nodes\n",
      "plot(river_obs.centerline.s[idx]/1.e3,river_obs.nobs[idx],'o',alpha=0.5)\n",
      "grid()\n",
      "xlabel('Reach (km)')\n",
      "ylabel('Number of observations')\n",
      "subplot(2,2,3)\n",
      "plot(htrue,h,'.',alpha=0.01)\n",
      "plot([-10,60],[-10,60],'--k',alpha=0.5)\n",
      "xlim(-10,60)\n",
      "ylim(-10,60)\n",
      "grid()\n",
      "xlabel('h true (m)')\n",
      "ylabel('h measured (m)')\n",
      "subplot(2,2,4)\n",
      "plot(river_obs.s/1.e3,river_obs.htrue,'.',alpha=0.1)\n",
      "plot(river_obs.s/1.e3,river_obs.h,'.',alpha=0.05)\n",
      "grid()\n",
      "xlabel('Reach (km)')\n",
      "ylabel('Height (m)');"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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kiTvKD2dE8lzxmNiKrb7Exg51O0HWmosKtLy8PF588UU+/vhjBg0axMCBAzGb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\nWlvDhMNT6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nPmzEkUro1FXyorK5k9ezZz5sxJpASNRT/A6Hm2Zs0aZsyYQW1tLe++++6Y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6vPuM71Qs6uRdTTDVxZ7Nu3D4CDBw9OLtt6k7yhPbvy2NrE1FUdMtBkDTIoWAWSLKHv9ymk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\nvVRHQSHOhVC9XWqzVF3CjVzcwOWF6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54rwyukWYosCSd7TdGQJZlxNMaNXBRZYegNsXSL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\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sSbl8T8plHDA7xlIfqsfn8rGkdsmo/cV9QA1hsLN9JxoaQ6khKnwV1IfrqfRXMpAYoDva\nTSwTw+vyksvlGE4Oc2LkBF6Xl0w2Q8gTwueW3jVTmPkEBZfDlW/nVFyfLaEnEJrAodlDGtnOgzZb\nyGZHNxS3yltY3i1LaFn10ISQAiuVkuItFJJFa01THu/xyOsEg9IjVlkpr20VljUMeX2QGZiGIT/D\nEm9jly6LG56PfS5e7rSe1bKnQqFQKGaS4gbrFlZpDqulVDqXJp6N59+zMkVzZo60npaJAnqShnAD\nboebuZVziaVjhHwhBlIDBNwB9JyO0ETes+Z2uMd5/BJ6gpHMCMIs9BYtdZKA7WLQzoRSxG+k02m8\nXm8+y/Tuu+H//l/ZRcBi+XIp1JYsgTVr4IYbZBxZX5+sXfanP0lh5/FIsfX661IcLV4sOwKYpszQ\nNE1ZMqO2VoopK5PTWvoEKdpqauRxVuZmMaY5WnhZr61H8ftquVMxGyinuK1yGotCMZ30xHvIGTkA\nqvxVxPU4MT1GNpdlKD1Erb8WgWAkPUJXtIvzqs8j4o2QyqZYUCWr/vfGehnJjhB0BfG7/EQzUaoD\n1YykR3BqTupD9bgcrlECrCcu20F5XB6q/dXTvsRZFjFodiQWi/HEE09w1VVXsXjxYkCKp0BACrSq\nKim8rAr/lZWF+DDTlMuPgYA8Z3BQCrTh4YIw8njk+alUoRyGVS+tuCuBVddM0+Q51tLmWHEG8trF\n9c+s5UxLkBW/r1AoFAqFHXBqTmLZGCFvKN+xwDAN4kachVULQchM0Up/JQF3gIgvwkhmhOpANb3x\nXhyag0QuQTaXpSfVQ1ZkWVC5IJ+pWRusnbAAbcgToiHUgKZptog/A5vGoNkJS5y1tLTkxRlIgZSW\nJVw+EjqyFMbcuVL0WJ0DrBg0q8p/JCJFViYjBZaVfenxkO+baYm6hgbpIbMyNSMReYzTKc/xesfH\nnlm0t7ePSw4wDPK10WZanNktJsJu9oD9bLKbPQp7Ui7fk3IZB8zusfjcPsLecL691J7X9hDxRZgb\nmUtjuJEKXwUuhwuBoDpQjdvpJugJ0hvv5ejgUbriXRimgdvhJmfmqAnUEMvEGEwO0hhuzMefDSYH\n6Y530xvvBcChOcgYGdDkcqcdUB60j6FYnF1++ehSGgMDhQD7SKRQbNbphLq6QqakEDLgP52W2+Gw\n9JbV1UmxVVFREEzF8WbWMqTVdcDlkscmElLMVVQUljsnwvKaFVPsPVOeM4VCoVDYDQ0t38tzbAcD\nq2NBNBMl6JatpsLeMGgwnBrG6/aS1JPE03FcThfzIvOIZ+P4XD5cmou4HpdlNDAZSg/hd/nJmTn6\n4/34PD48Lk++2G5xG6tSoWLQTsHHiTOA73wHfv1rOHwYli0rLGEuXSrLZixbBp/+tBRWvb1ySXNo\nSAq1RELGoCUSoxufG4Z83+WSNc8aGwtCz+WSn2G9DocLLaQmoriLwNglUCXOFLORcorbKqexKBTT\nzakC9ON6nFgmRjwTJ51NE/DIJc64Hqc71o3P5ct3B6jx15DJZvK1zoQme3tatdHiepyknsTr9jK3\nQjbBjqajJPQEQa9sI2W1rJoOVAzaNKJpGhs2bOCiiy6a8P3Fi2HhQunFmj8furpkeY2aGinUGj5a\nwra8Yh5Pod9mWGb34nZLQWYtPQohvWWVlfLZqplm9eV0ueRrh2N0zbOJsDxyE7V3Ks7wVAkCCoVC\nobATljgbTA7KzEohZHzYRx0LAu4ADs1BfUg2RE/oibyXLOwN43F5ZK00pxMTk4HUAHXBOoQQZHKZ\nfCaow+Gg0lfJSHoEt8NNxBfB6XDid/ttkcmp/jyfglAodEpxBlKIhUKFmmea1o7HI4WWVdPM8mD5\n/VKUOZ0FD5ppyg4BhiGFmscjr7lwISxaJD1oVian1QQ9ECjEoJ0Oq51TcQ9Oi+L6aDP1T7zdYiLs\nZg/Yzya72aOwJ+XyPSmXcUD5jGUkM8LLv3+Z7mg3RwaOkNSTeJwe3E43YW8YIUS+8r+JidftpS5U\nl+//6XV7yZk5skaWnlgPQ8kh6kJ1aJqG3+XH5/QRTcum6l6XDOgOeoIIISZMJJhplAdtFO7/8AAA\nGmNJREFUkuRy0tPlckkBlUzKuLBgUGZjDg9L8eVyyedcrtDU3OoOYNU2C4XksxBShFVXj48VO9ty\nGBOJs+IitcUlNxQKhUKhsBtCCEzDJCdy+N1+vC4v6Vwav9uPEAI9pxPxRegY6SBn5gi5Q8Do4rMp\nPUVMj9EYasTn9nF8+DixTAyP00NTuEm2gvqos4DVUSCRS0zr8uZkUTFok2TbNnjpJZkA0NwsRVko\nJIVRZaWMQ2tpkYIrGpWPoaFC2QyHA+JxKeBqagrFZiMRKfS83oIHziq78XHeMDi9gLOSEaxrquVN\nxWzCDvN+uiinsSgU54qEnqAn2gOa9GyZmDg1Zz7WLOwNE9fj9MR7GEmOEPaGmRuZO8rztb9zPyPp\nEQxh4HQ4qfJXkdJTBN1B6oJ1VPgqgNGiTgiBEGJcrbSpMJk5r/5EIxMCdu7ceVY/vOpq2aKpsVFm\nZNbXF2LQLK+YVQLDigULhwsxZladM2u50grqtzoDWOdZsWmn8nadyXJlcR00UOJMoVAoFPYn6AnS\nWNHIoppFaJqWD+7vGOnIt2PS0HDgICdyaA4Nweg/hBW+Cip8FRiGgWEY9Mf6iWVimMIk6A0S8ARG\nZ4nqCeKZuC2WOD/xf6atbE0r8+NMcbnkcqbfLwXZe++1A4U2TlbGJci4Ma9X7o9ECuU3rHpmVhJB\nMChFnNtdWKK0BNvp4s7GCrjiGISJ2j7NNHaLibCbPWA/m+xmj8KelMv3pFzGAeU1ll07d9GX6KMv\n2UdnrJNoJkqlr5JYOkZSTxL0BHFoDrwuL6Zp0hvvpTfem69lFvaEyeayBL1Bwt4wGUNmdjo0B06t\n8Ic1lU3lExI0tFHvlYpPtEA7XSmNj8Pvl2IrEpFLlZmM7Cpg9eHUdRlnBlJcWd0ErHIa1nuRSEHU\nVVdLsed0SgFoFa/9OHFWHKd2Jo3Prc4CanVFoVAoFHbHanKuGzrDyWEy2Qx9iT7QCsuSAoEpTPoT\n/cR06R2zsjDrQ/V4XB48Dg8xXfZmjHgjZI0sST2Z/xxDGCAgnomTyCbGeeJKwSc2Bm0q4gzg0CF4\n912ZDJDNyjIbjY2F/piVlbInp9cr49OgkBjQ0yPFnNVxoLFRPluFbs+W4tiyUxWhLV4GVUucitlI\nOcVtldNYFIpzSUJP0BXrIpaRxWMzRoaQN0SVrwq3w03IG6Iz1kk8HUcgqPBW5DM9rZZN7/S8w3Bq\nmKHUEEIInJqT8+vOZ27FXByag7gepzfRi8fhIZ1L01zVbIsYtE9sFue2bdsmLc6gsLQZDksBZrVe\nsrIxYbRYsrI4c7lCsVkhGFWaw+EYHSd2trXKPi4r03pP9d9UKBQKxWwh6AkS8UYIuUMksgkaPY2M\npEcYTA5SHaimO9aNU3MikIKqNlhLKpvKi7NUNoUpTNLZNBXeCgKeAIZp4NJcGKZBIpfAELI1VDqb\nJuAOkMgk8vFppeQT60e57rrrJi3OoNAv0+mUoqynp51AQAo1a3myuBemVWIDZHN1q76Z3y+9bZaw\nG9s300oS+DiskhzFQu5UMQilEmd2i4mwmz1gP5vsZo/CnpTL96RcxgHlN5a6kMy2bAw3oqGhGzo+\ntw8An8tHzsjhcrqoDlQzlBwa1ezcEAb1wXoqPBX43X6q/FXUBGrwOD2ksimCniDpbJqEnsDr8hL2\nhXE4HPkkhFLyifWgua3O5JPEEk1WbFkgIMtjWJf1eAqlMjyeQsyZVWKjpsayY3xPTcvTZXnTipuu\nn4qx9c6srE21lKlQKBSK2Y7lzUroCRpCDfTEe9CERn24Xi5FmrKGmd/tpy/eR8gbwhAfdQNwB6gJ\n1VAfqqc31kvIE0LTtLyQc2gOKrwVWGFndukk8ImNQZsqXV3w4YcFEZVKFdoyeTzSQzZXtvcinZZJ\nBFbhWutRnK05djiWwJpMg/MziUlTKGYbdpj300U5jUWhmEkSeoKR9AgAmWyGoDdI0BMkqSfJmtIT\n4tScJLIJAu4AAXcAPaeDBrqhk8llyOQyuF1uskaWSn8l/Yl+qnxVAHicnnzh2rA3PG12qzpopyCZ\nTE77zdDnkyLMavmUyxWyM93uQoNyTSt4wKyWTj6fTAiwhJppFroNWMuaY4XZZESW6hSgUCgUinIi\n6AmSM3IAGBgAecHmdrgJeUKYmATcAXJGjlQ2RW2oFp/bh27oxPQYnfFOoukoA8kB+mJ9JDNJDvUd\nIp1LUxeqw+VwTas4myxlL9BisRiPP/44hw8fntbrulwF8ZXLwd697WQycrnSavlkiS8LaynU6y14\nuCxvl7UsaQk06zPGxpadCQ5HoRenXbBbTITd7AH72WQ3exT2pFy+J+UyDij/sVQHq3FqTpyak+54\nNwPJgbz3zOVwyWQAd2BUJmc6m0Y3dE5GTxJNRflw8ENcmosqfxWmZlITrMEwDfrj/SVPDrAo6xi0\n4lIaS5cundZrWxmZ6bQUVlZD9OrqQrkMIaRY8slYxnxnARhdi8zylo3tCmBlfE7We6ZQKBQKRbmh\noeF3+zExZU9OQyeVTREKhmTWJibxTJz6UH3+HJ/bhzvjpsJTQdKRJOQKsbh6MQD1wXr0nC49bzYR\nZ1DGMWhTrXN2Onp6oK9Pxp75fFKoFZfa8HqlWHM6Jw7WtzxnxeLMWuYs3j9R03OF4pNIOcVtldNY\nFIpSkNSTCIT0eiX68706M7kMWTOLMGVNtAqfLK2R0BMYpsHx4eN4nV4cDgcN4QY0NFLZFN2xbmqD\ntTSGG8+JvSoG7SP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38vOf/3zcZ7/66qusWbNm1D4hBPfeey8DAwM8/vjjOBwONE1jwYIF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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10d11a8d0>"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Plot the true river height averaged over each node, and the measured height, similarly averaged for mean and median averaging. The gray lines are 2 standard errors away from the truth."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(10,5)\n",
      "subplot(1,2,1)\n",
      "plot(sn/1.e3,htn,'.',alpha=0.1)\n",
      "plot(sn/1.e3,hn_mean,'.',alpha=0.2)\n",
      "plot(sn/1.e3,htn+2*hstdn,'-k',alpha=0.1)\n",
      "plot(sn/1.e3,htn-2*hstdn,'-k',alpha=0.1)\n",
      "xlabel('Reach (km)')\n",
      "ylabel('Height (m)')\n",
      "title('Mean')\n",
      "\n",
      "subplot(1,2,2)\n",
      "plot(sn/1.e3,htn,'.',alpha=0.1)\n",
      "plot(sn/1.e3,hn_median,'.',alpha=0.2)\n",
      "plot(sn/1.e3,htn+2*hstdn,'-k',alpha=0.1)\n",
      "plot(sn/1.e3,htn-2*hstdn,'-k',alpha=0.1)\n",
      "xlabel('Reach (km)')\n",
      "title('Median')\n",
      "ylabel('Height (m)');"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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GOn3pOWOxMaJdUd6/8/1LEjC48SJ9y7I6tok3Gg0cDsdt80tCCLH2du8GTYPB7RoxdWn8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\nwgAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10d1c4190>"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Final step: fit the truth and measurements over the sub-reaches\n",
      "\n",
      "The fitting algorithm right now implements three different fitting methods, as described in [StatsModels](http://statsmodels.sourceforge.net):\n",
      "\n",
      "* Ordinary Least Squares (OLS)\n",
      "* Weighted Least Squares (WLS)\n",
      "* Robust Linear Models (RLM)\n",
      "\n",
      "The software will eventually incorporate better outlier rejection at the node level. Right now it has tail trimming, but this is not examined in this example.\n",
      "\n",
      "\n",
      "In the first step, initialize the fitting object with the observations:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fit = FitRiver(river_obs)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## An example\n",
      "\n",
      "Take the reach between 40km and 50km and fit the measured height and the true height using ordinary unweighted least squares:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "smin = 40.e3\n",
      "smax = 50.e3\n",
      "\n",
      "h_ols_results = fit.fit_linear(smin,smax,'h',fit='OLS')\n",
      "yfit_ols = N.dot(fit.X,h_ols_results.params)\n",
      "h = fit.y\n",
      "\n",
      "htrue_ols_results = fit.fit_linear(smin,smax,'htrue',fit='OLS')\n",
      "htrue = fit.y\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Get the errors in slope and height, convert to suitable units (cm and cm/km) and print:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "herror = (h_ols_results.params[1] - htrue_ols_results.params[1])*100\n",
      "slp_error = (h_ols_results.params[0] - htrue_ols_results.params[0])*1.e5\n",
      "print('Height error: %.1f cm'%herror)\n",
      "print(r'Slope error:  %.1f cm/km'%slp_error)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Height error: 0.3 cm\n",
        "Slope error:  -2.1 cm/km\n"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Repeat with weighted least squares:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\n",
      "h_wls_results = fit.fit_linear(smin,smax,'h',fit='WLS')\n",
      "yfit_wls = N.dot(fit.X,h_wls_results.params)\n",
      "\n",
      "htrue_wls_results = fit.fit_linear(smin,smax,'htrue',fit='WLS')\n",
      "\n",
      "herror = (h_wls_results.params[1] - htrue_wls_results.params[1])*100\n",
      "slp_error = (h_wls_results.params[0] - htrue_wls_results.params[0])*1.e5\n",
      "print('Height error: %.1f cm'%herror)\n",
      "print(r'Slope error:  %.1f cm/km'%slp_error)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Height error: 1.1 cm\n",
        "Slope error:  0.3 cm/km\n"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Repeat with robust fitting:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "h_rlm_results = fit.fit_linear(smin,smax,'h',fit='RLM')\n",
      "yfit_rlm = N.dot(fit.X,h_rlm_results.params)\n",
      "\n",
      "htrue_rlm_results = fit.fit_linear(smin,smax,'htrue',fit='RLM')\n",
      "herror = (h_rlm_results.params[1] - htrue_rlm_results.params[1])*100\n",
      "slp_error = (h_rlm_results.params[0] - htrue_rlm_results.params[0])*1.e5\n",
      "print('Height error: %.1f cm'%herror)\n",
      "print(r'Slope error:  %.1f cm/km'%slp_error)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Height error: -2.3 cm\n",
        "Slope error:  -0.8 cm/km\n"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Here is a plot of the three solutions:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(6,6)\n",
      "plot(fit.s/1.e3,htrue,'-',alpha=0.7,linewidth=2,label='Truth')\n",
      "plot(fit.s/1.e3,h,'o',alpha=0.2)\n",
      "plot(fit.s/1.e3,yfit_ols,'-',linewidth=2,label='OLS')\n",
      "plot(fit.s/1.e3,yfit_wls,'-',linewidth=2,label='WLS')\n",
      "plot(fit.s/1.e3,yfit_rlm,'-',linewidth=2,label='RLM')\n",
      "xlabel('Reach (km)')\n",
      "ylabel('Height (m)')\n",
      "grid()\n",
      "legend(loc='best');"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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f6jUfffSRx0f+tCQpICGE6Ibo6GjuvvtunnzySQCefPLJVss/LliwoM1rxo0bx9ixY+2P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\nwk/9P51tQ3ldI21LAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10d494590>"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "##Fitting multiple reaches\n",
      "\n",
      "Now do a more systematic study: start at 30 km reach, and fit successive 10km reaches, displacing each reach by 2.5km. Gather the results and get some statistics. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "herror_ols = []\n",
      "herror_wls = []\n",
      "herror_rlm = []\n",
      "slp_error_ols = []\n",
      "slp_error_wls = []\n",
      "slp_error_rlm = []\n",
      "\n",
      "smin = 30.e3\n",
      "delta_s = 10.e3\n",
      "smax = smin + delta_s\n",
      "step = 2.5e3\n",
      "sstop = 65.e3\n",
      "\n",
      "while smax <= sstop:\n",
      "    \n",
      "    h_ols_results = fit.fit_linear(smin,smax,'h',fit='OLS')\n",
      "    htrue_ols_results = fit.fit_linear(smin,smax,'htrue',fit='OLS')\n",
      "    herror = (h_ols_results.params[1] - htrue_ols_results.params[1])*100\n",
      "    slp_error = (h_ols_results.params[0] - htrue_ols_results.params[0])*1.e5\n",
      "    herror_ols.append(herror)\n",
      "    slp_error_ols.append(slp_error)\n",
      "    \n",
      "\n",
      "    h_wls_results = fit.fit_linear(smin,smax,'h',fit='WLS')\n",
      "    htrue_wls_results = fit.fit_linear(smin,smax,'htrue',fit='WLS')\n",
      "    herror = (h_wls_results.params[1] - htrue_wls_results.params[1])*100\n",
      "    slp_error = (h_wls_results.params[0] - htrue_wls_results.params[0])*1.e5\n",
      "    herror_wls.append(herror)\n",
      "    slp_error_wls.append(slp_error)\n",
      "    \n",
      "    h_rlm_results = fit.fit_linear(smin,smax,'h',fit='RLM')\n",
      "    htrue_rlm_results = fit.fit_linear(smin,smax,'htrue',fit='RLM')\n",
      "    herror = (h_rlm_results.params[1] - htrue_rlm_results.params[1])*100\n",
      "    slp_error = (h_rlm_results.params[0] - htrue_rlm_results.params[0])*1.e5\n",
      "    herror_rlm.append(herror)\n",
      "    slp_error_rlm.append(slp_error)\n",
      "    \n",
      "    smin += step\n",
      "    smax += step\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 20
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Results for Ordinary Least Squares:**"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print('Number of sub-reaches: %d\\n'%len(herror_ols))\n",
      "herror_ave = N.mean(herror_ols)\n",
      "herror_std = N.std(herror_ols)\n",
      "print('Mean height error: %.1f cm'%herror_ave)\n",
      "print(' STD height error: %.1f cm'%herror_std)\n",
      "\n",
      "slp_error_ave = N.mean(slp_error_ols)\n",
      "slp_error_std = N.std(slp_error_ols)\n",
      "print(' Mean slope error: %.1f cm/km'%slp_error_ave)\n",
      "print('  STD slope error: %.1f cm/km'%slp_error_std)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of sub-reaches: 11\n",
        "\n",
        "Mean height error: 1.7 cm\n",
        " STD height error: 3.0 cm\n",
        " Mean slope error: 0.1 cm/km\n",
        "  STD slope error: 2.1 cm/km\n"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Results for Weighted Least Squares:**"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print('Number of sub-reaches: %d\\n'%len(herror_ols))\n",
      "herror_ave = N.mean(herror_wls)\n",
      "herror_std = N.std(herror_wls)\n",
      "print('Mean height error: %.1f cm'%herror_ave)\n",
      "print(' STD height error: %.1f cm'%herror_std)\n",
      "\n",
      "slp_error_ave = N.mean(slp_error_wls)\n",
      "slp_error_std = N.std(slp_error_wls)\n",
      "print(' Mean slope error: %.1f cm/km'%slp_error_ave)\n",
      "print('  STD slope error: %.1f cm/km'%slp_error_std)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of sub-reaches: 11\n",
        "\n",
        "Mean height error: 3.2 cm\n",
        " STD height error: 4.3 cm\n",
        " Mean slope error: 0.1 cm/km\n",
        "  STD slope error: 1.1 cm/km\n"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Results for Robust Linear Model:**"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print('Number of sub-reaches: %d\\n'%len(herror_rlm))\n",
      "herror_ave = N.mean(herror_rlm)\n",
      "herror_std = N.std(herror_rlm)\n",
      "print('Mean height error: %.1f cm'%herror_ave)\n",
      "print(' STD height error: %.1f cm'%herror_std)\n",
      "\n",
      "slp_error_ave = N.mean(slp_error_rlm)\n",
      "slp_error_std = N.std(slp_error_rlm)\n",
      "print(' Mean slope error: %.1f cm/km'%slp_error_ave)\n",
      "print('  STD slope error: %.1f cm/km'%slp_error_std)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of sub-reaches: 11\n",
        "\n",
        "Mean height error: 0.0 cm\n",
        " STD height error: 2.8 cm\n",
        " Mean slope error: -0.1 cm/km\n",
        "  STD slope error: 1.8 cm/km\n"
       ]
      }
     ],
     "prompt_number": 23
    }
   ],
   "metadata": {}
  }
 ]
}